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Proceedings Paper

Multiple location SAR/ISAR image fusion for enhanced characterization of targets
Author(s): Scott Papson; Ram Mohan Narayanan
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Paper Abstract

The main focus of this paper is the development of fusion strategies for multiple location synthetic aperture radar (SAR), and inverse synthetic aperture radar (ISAR) images. The techniques being developed are to be used in conjunction with super-resolution and target identification strategies for non-cooperative target recognition (NCTR). Multiple location processing has the ability to provide improved image quality as well as target detection and classification capabilities since the different aspects or “looks” can provide additional clues about the shape, dimensions, and special features of a target. Many traditional SAR/ISAR processing techniques seek to maximize the instantaneous SNR for a signal in the presence of additive noise. Unfortunately, these techniques do not directly address the recreation of an image with minimum mean squared error between the reconstructed SAR image and the reflectivity map of the actual scene. This paper examines techniques capable of improving the probability of object detection within an image generated via spatial fusion. The strategies focus on image level fusion of the SAR/ISAR data. Canonical SAR/ISAR data is used to validate and compare the fusion results. Preliminary results using DARPA's MSTAR database are also presented.

Paper Details

Date Published: 16 May 2005
PDF: 12 pages
Proc. SPIE 5788, Radar Sensor Technology IX, (16 May 2005); doi: 10.1117/12.604166
Show Author Affiliations
Scott Papson, The Pennsylvania State Univ. (United States)
Ram Mohan Narayanan, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 5788:
Radar Sensor Technology IX
Robert N. Trebits; James L. Kurtz, Editor(s)

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